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ABAQUS Python 二次开发攻略-文前.pdf (4693819, 2017-12-03)
ABAQUS Python 二次开发攻略.jpg (318973, 2017-12-03)
ABAQUS Python二次开发攻略-配书资源.7z (3196456, 2017-12-03)
code (0, 2018-01-01)
code\chapter1 (0, 2015-10-31)
code\chapter10 (0, 2018-01-01)
code\chapter10\80_Noryl 731 Campus data.txt (5717, 2013-11-26)
code\chapter10\Case_10_1.png (25310, 2013-11-28)
code\chapter10\Case_10_1.py (407, 2015-04-06)
code\chapter10\Case_10_2.py (1277, 2013-12-15)
code\chapter10\Case_10_3.py (384, 2015-04-06)
code\chapter10\Case_10_4.py (1851, 2013-12-15)
code\chapter10\Case_10_5.py (241, 2015-04-06)
code\chapter10\Case_10_6.py (960, 2015-04-06)
code\chapter10\Case_10_7.py (6960, 2015-04-04)
code\chapter10\CreepFittingReport.pdf (84254, 2013-12-16)
code\chapter10\example.xls (5632, 2015-04-06)
code\chapter10\fig.png (85992, 2015-04-06)
code\chapter10\get-pip.py (1608741, 2015-04-04)
code\chapter10\modelData.xlsx (8844, 2013-11-25)
code\chapter10\xxx.tif (800206, 2015-04-06)
code\chapter11 (0, 2018-01-01)
code\chapter11\case_11_1.py (268, 2013-10-19)
code\chapter11\case_11_10.py (323, 2013-10-22)
code\chapter11\case_11_11.py (500, 2013-10-22)
code\chapter11\case_11_2.py (794, 2013-10-19)
code\chapter11\case_11_3.py (560, 2013-10-19)
code\chapter11\case_11_4.py (589, 2013-10-19)
code\chapter11\case_11_5.py (564, 2013-10-19)
code\chapter11\case_11_6.py (550, 2013-10-20)
code\chapter11\case_11_7.py (687, 2013-10-20)
code\chapter11\case_11_8.py (516, 2013-10-21)
code\chapter11\case_11_9.py (360, 2013-11-27)
code\chapter11\Tensile.inp (180946, 2011-06-09)
code\chapter12 (0, 2018-01-01)
code\chapter12\Case_12_1.py (7812, 2015-04-06)
code\chapter12\Case_12_1_beam.py (7917, 2015-04-06)
code\chapter13 (0, 2014-12-23)
code\chapter14 (0, 2018-01-01)
code\chapter14\case_14_1.py (1790, 2014-03-01)
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Overview: -------- pygene is my attempt at a genetic algorithms and genetic programming library for python that is easy to use and understand This is your chance to play God. You design the genome of a species. You implement a fitness calculation procedure for members of that species. You create a population of that species, then sit back as members of the species indulge their promiscuous desires. A given organism's chance of getting laid is proportional tno its fitness. Watch as your population evolves closer and closer to perfection, or converges to something reasonably close to it. Documentation: ------------- To get your nice HTML doco, type: ./makedoc.py Examples: -------- There are some examples in the toplevel directory, including: - Travelling Salesman Problem (console and graphical versions) - simple converger - string guesser - function deriver (genetic programming)

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